Digital Signal Processing Algorithms for ESM Receiver Scan Strategy
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Solution Overview
Problem
Conventional ESM receivers, primarily analog, face limitations in detecting multiple emitters due to resource constraints, leading to inefficient scanning and missed detections, especially for low-power signals and signals with specific characteristics.
Innovation Solution
Implementing digital signal processing algorithms and components, such as digital cards, to enhance emitter identification by expanding measurable parameters and improving sensitivity, allowing for more efficient allocation of receiver resources and detection of signals not detectable by analog receivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If uniform detection of multiple emitters is attempted using conventional analog receivers, then detection coverage is improved, but detection quality and reliability degrade due to limited receiver resources
Solution Approach 1:
The receiver resources are segmented into multiple functional components: a scan strategy module that determines optimal scanning patterns, a digital signal processing module that processes signals with multiple parameters, and an emitter identification module that classifies detected emitters. This segmentation allows each component to specialize in specific tasks, improving overall detection quality while maintaining broad coverage.
Solution Approach 2:
The patent changes the operating parameters of the receiver by transitioning from analog processing to digital signal processing. This enables measurement of additional parameters such as pulse width, pulse repetition interval, and frequency characteristics, which were not available in analog receivers. These parameter changes enhance detection reliability without sacrificing coverage.
2Adaptability or versatility
If receiver resources are allocated uniformly across all frequency ranges, then frequency coverage is improved, but detection sensitivity for specific signals deteriorates
Solution Approach 1:
The scan strategy is made dynamic by continuously adjusting the receiver's frequency tuning based on the current electromagnetic environment. The system identifies which frequency ranges contain emitters and concentrates resources there, while maintaining the ability to scan other ranges. This dynamic allocation improves sensitivity for detected signals while preserving broad frequency coverage capability.
Solution Approach 2:
The receiver maintains continuous scanning across all frequency ranges while intermittently concentrating resources on specific ranges where emitters are detected. This continuous action ensures that no potential emitters are missed, while the concentrated scanning provides high sensitivity for identified signal types.
3Measurement precision
If digital signal processing algorithms are implemented to enhance emitter identification, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The digital signal processing module is designed with multi-functionality, handling multiple tasks including signal filtering, parameter measurement, and preliminary analysis. This universal approach consolidates what would otherwise require separate analog processing stages into a single digital platform, improving measurement precision while limiting the increase in overall system complexity.
Solution Approach 2:
The patent replaces complex analog signal processing mechanisms with digital signal processing algorithms. Instead of using multiple analog filters and tuned circuits for each function, the system uses software-based digital processing that can be more easily configured and updated. This substitution improves measurement precision while actually reducing hardware complexity.
4Productivity
If scanning speed is increased to detect more emitters, then productivity is improved, but measurement precision for signal characteristics deteriorates
Solution Approach 1:
The receiver uses periodic scanning with variable dwell times in different frequency ranges. When emitters are detected in a particular range, the system increases the dwell time (scanning speed) for that range to capture sufficient signal characteristics, while maintaining faster scanning in other ranges. This periodic action with adaptive timing improves overall productivity while preserving measurement precision for detected signals.
Solution Approach 2:
The system performs preliminary signal detection and classification to determine which emitters require detailed parameter measurement. By pre-identifying emitter types and locations, the system can allocate measurement resources efficiently, measuring full signal characteristics only for emitters that need detailed analysis, thus maintaining high productivity without sacrificing precision for important targets.
Data Source
AI summary
A method is provided for determining a scan strategy to receive data for a digital unit associated with an electronic support measure receiver. The receiver scans a surrounding environment to detect and receive emitted signals while utilizing the digital unit to improve emitter identification. The digital unit is provided with the data according to requirements of digital signal processing algorithms implemented by the unit.